Applied AI ML Lead - Global Banking Tech

Job Description:

This is a unique opportunity to apply your skills and contribute to impactful global business initiatives.

As an Applied AI ML Lead - Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you'll leverage your technical expertise and leadership abilities to support AI innovation and delivery. You should have deep knowledge of AI/ML with experience implementing LLM based projects and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results.

Job Responsibilities:

• Executes creative software solutions using AI/LLM, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Develops secure high-quality production code, reviews and debugs code written by others.
• Lead a local AI/ML team with accountability and engagement into a global organization.
• Mentor and guide team members, fostering an inclusive culture with a growth mindset.
• Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation.
• Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery.
• Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution.
• Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements.
• Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability.

• 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems or equivalent experience.
• Track record of Leading AI/ML or Software development teams.
• Experience as a hands-on practitioner developing production AI/LLM solutions.
• Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses.
• Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy;
• Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
• Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
• Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, Keras, Scikit-Learn.
• Familiarity in AWS Cloud services such as EMR, Sagemaker etc.,
• Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team.
• Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership.

• Experience working in RAG based LLM projects.
• Experience working in the field of MLOps.
• Good communication skills. Working experience in Innovation based projects is preferred.